Geopolitics of AI

AI development is concentrated in a handful of countries, with the United States and China far ahead of everyone else. Export controls, infrastructure investments, and geopolitics all shape who can build and deploy the most advanced systems. Epoch tracks which countries are leading in AI research and model development, how compute capacity breaks down geographically, and what this means for the global balance of AI capabilities.

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Diversion and resale: estimating compute smuggling to China
Report
Apr. 29, 2026
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Diversion and resale: estimating compute smuggling to China

We estimate that between 290,000 and 1.6 million H100-equivalents (H100e) were smuggled to China through 2025. Our median estimate of 660,000 H100e would be roughly a third of China's total compute.

By Isabel Juniewicz

Five hyperscalers now own over two-thirds of global AI compute
Data Insight
Apr. 14, 2026
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Five hyperscalers now own over two-thirds of global AI compute

Amazon, Google, Meta, Microsoft, and Oracle collectively hold an estimated 71% of the world's cumulative AI compute as of Q4 2025, up from 63% in Q1 2024.

By Luke Emberson, Josh You, and Venkat Somala

What does the war in Iran mean for AI?
Newsletter
Apr. 10, 2026
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What does the war in Iran mean for AI?

A prolonged Hormuz crisis probably won't derail the compute buildout, but it could slow data center expansion and disrupt Gulf investment flows into AI.

By Josh You

Keeping up with the GPTs
Newsletter
Apr. 7, 2026
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Keeping up with the GPTs

Can Chinese and open model companies compete with the frontier through e.g. distillation and talent?

By Anson Ho

Introducing the AI Chip Owners Explorer
Update
Apr. 6, 2026
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Introducing the AI Chip Owners Explorer

We announce our new AI Chip Owners explorer, showing which companies own the world’s leading AI chips.

By Josh You and Venkat Somala

Chinese AI models have lagged the US frontier by 7 months on average since 2023
Data Insight
Jan. 2, 2026
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Chinese AI models have lagged the US frontier by 7 months on average since 2023

Since 2023, every model at the frontier of AI capabilities, as measured by the Epoch Capabilities Index, has been developed in the United States. Over that same period, Chinese models have trailed US capabilities by an average of seven months, with a minimum gap of four months and a maximum gap of 14.

By Luke Emberson

The EU and the not-so-simple macroeconomics of AI – Luis Garicano
Podcast
Dec. 18, 2025
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The EU and the not-so-simple macroeconomics of AI – Luis Garicano

In this episode, economist Luis Garicano chats with the hosts about macroeconomic and labor market effects of AI, with a focus on the EU.

By Luis Garicano, Andrei Potlogea, and Anson Ho

Is almost everyone wrong about America’s AI power problem?
Newsletter
Dec. 17, 2025
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Is almost everyone wrong about America’s AI power problem?

Why power is less of a bottleneck than you think.

By Anson Ho, Yafah Edelman, Josh You, and Jean-Stanislas Denain

Three challenges facing compute-based AI policies
Newsletter
Sep. 11, 2025
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Three challenges facing compute-based AI policies

'Training compute' is constantly evolving, and compute-based AI policies must adapt to remain relevant

By Venkat Somala, Anson Ho, and Séb Krier

Why China isn’t about to leap ahead of the West on compute
Newsletter
Jul. 26, 2025
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Why China isn’t about to leap ahead of the West on compute

Chinese hardware is closing the gap, but major bottlenecks remain

By Veronika Blablová and Robi Rahman